A large amount of time and resources have been invested in making Python the most suitable first programming language for ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

In many ways, generative AI has made finding information on the Internet a lot easier. Instead of spending time scrolling ...

At the NICAR 2026 conference, dozens of leading data journalists shared some of their favorite digital tools and databases for investigating numerous topics.

Abstract: Query formulation is increasingly performed by systems that need to guess a user's intent (e.g. via spoken word interfaces). But how can a user know that the computational agent is returning ...

Nearly half of the databases that the Centers for Disease Control and Prevention used to update regularly — surveillance systems that tracked public health information like Covid vaccination rates and ...

Power Query used to be quite limited in Excel for the web, but Microsoft has now rolled out an update that brings the full experience to certain subscribers. Microsoft, in a recent announcement, said ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing, refining, and validating AI-generated outputs. AI is not only reshaping ...

Prequel is a SQL query engine built in C#. The goal of this project is to demonstrate how query engines are built, and to bring a query engine to the .NET community. The project contains a ...

A tech entrepreneur named Jason Lemkin set out to document his experience using an AI “vibe coding” tool called Replit to make an app. But the “vibes” turned bad real quick. The AI wiped out a key ...

AI has the power to transform how organizations derive insights, make decisions, and unlock value, but all that depends on the quality of the data. Most AI initiatives fail not because of algorithmic ...